The data-centric paradigm is vital for Text-to-SQL tasks, where performance suffers from scarce and simplistic datasets. We propose Text2SQL-Flow, a SQL-aware augmentation framework that generates large-scale, semantically valid, and structurally diverse Text-to-SQL pairs from limited seed data.
☆18Feb 19, 2026Updated last week
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